Use of Statins and Angiotensin Converting Enzyme Inhibitors (ACE-Is) and the Risk of Age-Related Macular Degeneration: Nested Case-Control Study
Bibliographic record
Abstract
BACKGROUND: Age related macular degeneration (AMD) is a progressive degenerative disease affecting central vision. Recent studies have shown that that statins may lower the risk of AMD potentially due to statins' anti-inflammatory and anti-oxidative properties. We sought to further explore this association and also explore the role of angiotensin-converting enzyme inhibitors (ACE-Is) with respect to the development of AMD. METHODS: We conducted a nested case-control study within a cardiovascular cohort that had undergone revascularization interventions in the Province of Quebec, Canada. Cases were identified as those with an ICD-9 code for AMD. For each case, four controls were randomly chosen from the cohort and matched to the cases by age and calendar time. Conditional logistic regression was used to estimate rate ratios and adjust for potential confounders. RESULTS: Our nested case-control study consisted of 2,867 cases and 11,468. Current users of ACE-Is or statins were at a slightly higher risk of developing AMD (1.19 [1.07-1.33]) and (1.30 [1.17-1.44]) respectively. The results were similar for those using these drugs in the year prior. CONCLUSIONS: Based on the results of our study, statin and ACE-I use may be associated with an increase in the risk of AMD. Given that our study is an observational study, further studies are required to confirm or refute these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".